From abe9ed3d40b3ac0b1f15c652ded5a50856674f20 Mon Sep 17 00:00:00 2001 From: Vikram Voleti Date: Tue, 23 Jul 2024 20:17:16 +0000 Subject: [PATCH] Adds SV4D code --- README.md | 24 + assets/hiphop_parrot.mp4 | Bin 0 -> 58129 bytes assets/sv4d.gif | Bin 0 -> 8373096 bytes assets/test_video1.mp4 | Bin 0 -> 94611 bytes assets/test_video2.mp4 | Bin 0 -> 25853 bytes scripts/demo/sv4d_helpers.py | 1207 +++++++++++++++++ scripts/sampling/configs/sv4d.yaml | 208 +++ scripts/sampling/simple_video_sample_4d.py | 236 ++++ sgm/modules/diffusionmodules/guiders.py | 48 +- sgm/modules/diffusionmodules/openaimodel.py | 44 +- .../diffusionmodules/sigma_sampling.py | 9 +- sgm/modules/diffusionmodules/util.py | 30 + sgm/modules/diffusionmodules/video_model.py | 750 +++++++++- sgm/modules/diffusionmodules/wrappers.py | 25 +- sgm/modules/encoders/modules.py | 20 +- sgm/modules/spacetime_attention.py | 596 ++++++++ 16 files changed, 3174 insertions(+), 23 deletions(-) create mode 100644 assets/hiphop_parrot.mp4 create mode 100644 assets/sv4d.gif create mode 100644 assets/test_video1.mp4 create mode 100644 assets/test_video2.mp4 create mode 100644 scripts/demo/sv4d_helpers.py create mode 100644 scripts/sampling/configs/sv4d.yaml create mode 100644 scripts/sampling/simple_video_sample_4d.py create mode 100644 sgm/modules/spacetime_attention.py diff --git a/README.md b/README.md index 96a28364..25e015b7 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,30 @@ ## News + +**July 24, 2024** +- We are releasing **[Stable Video 4D (SV4D)](https://huggingface.co/stabilityai/sv4d)**, a video-to-4D diffusion model for novel-view video synthesis. For research purposes: + - **SV4D** was trained to generate 40 frames (5 video frames x 8 camera views) at 576x576 resolution, given 5 context frames (the input video), and 8 reference views (synthesised from the first frame of the input video, using a multi-view diffusion model like SV3D) of the same size, ideally white-background images with one object. + - To generate longer novel-view videos (21 frames), we propose a novel sampling method using SV4D, by first sampling 5 anchor frames and then densely sampling the remaining frames while maintaining temporal consistency. + - Please check our [project page](), [tech report]() and [video summary]() for more details. + +**QUICKSTART** : `python scripts/sampling/simple_video_sample_4d.py --input_path assets/test_video1.mp4 --output_folder outputs/sv4d` (after downloading [SV4D](https://huggingface.co/stabilityai/sv4d) and [SV3D_u]((https://huggingface.co/stabilityai/sv3d)) from HuggingFace) + +To run **SV4D** on a single input video of 21 frames: +- Download SV3D models (`sv3d_u.safetensors` and `sv3d_p.safetensors`) from [here](https://huggingface.co/stabilityai/sv3d) and SV4D model (`sv4d.safetensors`) from [here](https://huggingface.co/stabilityai/sv4d) to `checkpoints/` +- Run `python scripts/sampling/simple_video_sample_4d.py --input_path ` + - `input_path` : The input video `` can be + - a single video file in `gif` or `mp4` format, such as `assets/test_video1.mp4`, or + - a folder containing images of video frames in `.jpg`, `.jpeg`, or `.png` format, or + - a file name pattern matching images of video frames. + - `num_steps` : default is 20, can increase to 50 for better quality but longer sampling time. + - `sv3d_version` : To specify the SV3D model to generate reference multi-views, set `--sv3d_version=sv3d_u` for SV3D_u or `--sv3d_version=sv3d_p` for SV3D_p. + - `elevations_deg` : To generate novel-view videos at a specified elevation (default elevation is 10) using SV3D_p (default is SV3D_u), run `python scripts/sampling/simple_video_sample_4d.py --input_path test_video1.mp4 --sv3d_version sv3d_p --elevations_deg 30.0` + - **Background removal** : For input videos with plain background, (optionally) use [rembg](https://github.com/danielgatis/rembg) to remove background and crop video frames by setting `--remove_bg=True`. To obtain higher quality outputs on real-world input videos (with noisy background), try segmenting the foreground object using [Cliipdrop](https://clipdrop.co/) before running SV4D. + + ![tile](assets/sv4d.gif) + + **March 18, 2024** - We are releasing **[SV3D](https://huggingface.co/stabilityai/sv3d)**, an image-to-video model for novel multi-view synthesis, for research purposes: - **SV3D** was trained to generate 21 frames at resolution 576x576, given 1 context frame of the same size, ideally a white-background image with one object. diff --git a/assets/hiphop_parrot.mp4 b/assets/hiphop_parrot.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..f86514d4214d9eb4f51e2a03da0bcc3b7a105e36 GIT binary patch literal 58129 zcmX`S18^oyv_JgBww-Kj+qP}nPi$l3jct2l+s4M&*fuuFKkvQY{i8_gU zo@oF8Ky2aaFfw|0crdtIo0&V>89OjI0xcQ;!)35? zwYU4WaddLEc64yzAvQHOF*fCACI*^Y@Us$|nVZ--n%eR+^Dyx+5gR)g+j+T|^D}v} z@-TTaGqV!goAX%=SA<&GUnStrs>ANAexArtQGyD&c`P;(~ 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